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Non-invasive electrical imaging of the heart aims to
quantitatively reconstruct information about the
electrical activity of the heart from multiple ECG
measurements. It has the potential to provide more
information about the underlying cardiac electrical
activity than is currently provided by a standard 12-
lead ECG. This book presents the computational
framework required to produce such information. The
procedures required to create a subject specific
cardiac and torso models are presented. Inverse
methods based on the two predominant
electrocardiographic sources (epicardial potentials
and myocardial activation times) are described in
detail. Myocardial activation times are computed
based on the Critical Point Theorem while epicardial
potentials are computed using Tikhonov and Truncated
SVD methods as well as Greensite s spatial and
temporal regularisation method. The regularisation
parameters for the epicardial potentials are
determined using a variety of methods (e.g., CRESO
criterion, L-curve, zero-crossing). The accuracy and
reliability of the different methods were compared in
a simulation study in the presence of a variety of
modelling errors.
quantitatively reconstruct information about the
electrical activity of the heart from multiple ECG
measurements. It has the potential to provide more
information about the underlying cardiac electrical
activity than is currently provided by a standard 12-
lead ECG. This book presents the computational
framework required to produce such information. The
procedures required to create a subject specific
cardiac and torso models are presented. Inverse
methods based on the two predominant
electrocardiographic sources (epicardial potentials
and myocardial activation times) are described in
detail. Myocardial activation times are computed
based on the Critical Point Theorem while epicardial
potentials are computed using Tikhonov and Truncated
SVD methods as well as Greensite s spatial and
temporal regularisation method. The regularisation
parameters for the epicardial potentials are
determined using a variety of methods (e.g., CRESO
criterion, L-curve, zero-crossing). The accuracy and
reliability of the different methods were compared in
a simulation study in the presence of a variety of
modelling errors.